Author Archives: Jayita Bhattacharyya - Page 6
In this article, I’ll discuss the various types of activation functions present in a neural network.
The post Activation Functions in Neural Networks: An Overview appeared first on Analytics India Magazine.
In this article, I’ll discuss the deep learning frameworks available for different programming language interfaces.
The post Popular Deep Learning Frameworks: An Overview appeared first on Analytics India Magazine.
Perceptron is the first neural network to be created. It was designed by Frank Rosenblatt in 1957. Perceptron is a single layer neural network. This is the only neural network without any hidden layer. Perceptron is used in supervised learning generally for binary classification.
The post Hands-On Implementation Of Perceptron Algorithm in Python appeared first on Analytics India Magazine.
In this article, I’ll discuss the features of PandasGUI and demonstrate the operations that it can perform on Pandas DataFrames.
The post Complete Guide to PandasGUI For DataFrame Operations appeared first on Analytics India Magazine.
In this article, I’ll be discussing how XGBoost works internally to make decision trees and deduce predictions.
The post Understanding XGBoost Algorithm In Detail appeared first on Analytics India Magazine.
In this article, I’ll be discussing how to create a face emotion recognizer using ‘FER’ library from python.
The post Face Emotion Recognizer In 6 Lines of Code appeared first on Analytics India Magazine.
In this article, I’ll be discussing the implementation of the datatable library with a large dataset.
The post Hands-On Guide to Datatable Library For Faster EDA appeared first on Analytics India Magazine.
In this article, I’ll be discussing how to generate pseudo labels using the semi-supervised learning technique. Semi-Supervised Learning(SSL) which is a mixture of both supervised and unsupervised learning.
The post Pseudo Labelling – A Guide To Semi-Supervised Learning appeared first on Analytics India Magazine.
To start with CNNs, LeNet-5 would be the best to learn first as it is a simple and basic model architecture. In this article, I’ll be discussing the architecture of LeNet-5 which is the very first convolutional neural network to be built.
The post Complete Tutorial On LeNet-5 | Guide To Begin With CNNs appeared first on Analytics India Magazine.
In this article, I’ll be discussing how to create an image dataset as well as label it using python. For creating an image dataset, we need to acquire images by web scraping or better to say image scraping and then label using Labeling software to generate annotations.
The post How To Create An Image Dataset and Labelling By Web Scraping? appeared first on Analytics India Magazine.